Epoch 1/1000
3207/3207 [==============================] - ETA: 0s - loss: 1.2808 - accuracy: 0.4613
Epoch 1: val_loss improved from inf to 1.37139, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 54s 12ms/step - loss: 1.2808 - accuracy: 0.4613 - val_loss: 1.3714 - val_accuracy: 0.4120 - lr: 0.0010
Epoch 2/1000
3203/3207 [============================>.] - ETA: 0s - loss: 1.2167 - accuracy: 0.4981
Epoch 2: val_loss did not improve from 1.37139
3207/3207 [==============================] - 38s 12ms/step - loss: 1.2167 - accuracy: 0.4981 - val_loss: 1.3912 - val_accuracy: 0.4024 - lr: 0.0010
Epoch 3/1000
3204/3207 [============================>.] - ETA: 0s - loss: 1.1861 - accuracy: 0.5155
Epoch 3: val_loss improved from 1.37139 to 1.25353, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 39s 12ms/step - loss: 1.1861 - accuracy: 0.5155 - val_loss: 1.2535 - val_accuracy: 0.4843 - lr: 0.0010
Epoch 4/1000
3205/3207 [============================>.] - ETA: 0s - loss: 1.1649 - accuracy: 0.5263
Epoch 4: val_loss improved from 1.25353 to 1.22445, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 39s 12ms/step - loss: 1.1649 - accuracy: 0.5263 - val_loss: 1.2245 - val_accuracy: 0.4932 - lr: 0.0010
Epoch 5/1000
3205/3207 [============================>.] - ETA: 0s - loss: 1.1464 - accuracy: 0.5341
Epoch 5: val_loss did not improve from 1.22445
3207/3207 [==============================] - 37s 12ms/step - loss: 1.1463 - accuracy: 0.5341 - val_loss: 1.2485 - val_accuracy: 0.4862 - lr: 0.0010
Epoch 6/1000
3206/3207 [============================>.] - ETA: 0s - loss: 1.1302 - accuracy: 0.5432
Epoch 6: val_loss improved from 1.22445 to 1.17509, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 38s 12ms/step - loss: 1.1302 - accuracy: 0.5432 - val_loss: 1.1751 - val_accuracy: 0.5191 - lr: 0.0010
Epoch 7/1000
3207/3207 [==============================] - ETA: 0s - loss: 1.1174 - accuracy: 0.5498
Epoch 7: val_loss did not improve from 1.17509
3207/3207 [==============================] - 37s 12ms/step - loss: 1.1174 - accuracy: 0.5498 - val_loss: 1.2196 - val_accuracy: 0.5172 - lr: 0.0010
Epoch 8/1000
3206/3207 [============================>.] - ETA: 0s - loss: 1.1048 - accuracy: 0.5557
Epoch 8: val_loss did not improve from 1.17509
3207/3207 [==============================] - 36s 11ms/step - loss: 1.1048 - accuracy: 0.5557 - val_loss: 1.2948 - val_accuracy: 0.4882 - lr: 0.0010
Epoch 9/1000
3207/3207 [==============================] - ETA: 0s - loss: 1.0922 - accuracy: 0.5619
Epoch 9: val_loss improved from 1.17509 to 1.15991, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 37s 12ms/step - loss: 1.0922 - accuracy: 0.5619 - val_loss: 1.1599 - val_accuracy: 0.5344 - lr: 0.0010
Epoch 10/1000
3207/3207 [==============================] - ETA: 0s - loss: 1.0830 - accuracy: 0.5661
Epoch 10: val_loss did not improve from 1.15991
3207/3207 [==============================] - 37s 11ms/step - loss: 1.0830 - accuracy: 0.5661 - val_loss: 1.2156 - val_accuracy: 0.5131 - lr: 0.0010
Epoch 11/1000
3203/3207 [============================>.] - ETA: 0s - loss: 1.0727 - accuracy: 0.5704
Epoch 11: val_loss improved from 1.15991 to 1.10258, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 38s 12ms/step - loss: 1.0727 - accuracy: 0.5704 - val_loss: 1.1026 - val_accuracy: 0.5558 - lr: 0.0010
Epoch 12/1000
3205/3207 [============================>.] - ETA: 0s - loss: 1.0649 - accuracy: 0.5748
Epoch 12: val_loss did not improve from 1.10258
3207/3207 [==============================] - 37s 11ms/step - loss: 1.0649 - accuracy: 0.5748 - val_loss: 1.1232 - val_accuracy: 0.5456 - lr: 0.0010
Epoch 13/1000
3207/3207 [==============================] - ETA: 0s - loss: 1.0562 - accuracy: 0.5778
Epoch 13: val_loss did not improve from 1.10258
3207/3207 [==============================] - 36s 11ms/step - loss: 1.0562 - accuracy: 0.5778 - val_loss: 1.1452 - val_accuracy: 0.5388 - lr: 0.0010
Epoch 14/1000
3205/3207 [============================>.] - ETA: 0s - loss: 1.0481 - accuracy: 0.5831
Epoch 14: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 14: val_loss did not improve from 1.10258
3207/3207 [==============================] - 36s 11ms/step - loss: 1.0481 - accuracy: 0.5831 - val_loss: 1.1032 - val_accuracy: 0.5569 - lr: 0.0010
Epoch 15/1000
3204/3207 [============================>.] - ETA: 0s - loss: 1.0189 - accuracy: 0.5954
Epoch 15: val_loss improved from 1.10258 to 1.06693, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 37s 12ms/step - loss: 1.0189 - accuracy: 0.5955 - val_loss: 1.0669 - val_accuracy: 0.5757 - lr: 5.0000e-04
Epoch 16/1000
3205/3207 [============================>.] - ETA: 0s - loss: 1.0082 - accuracy: 0.6000
Epoch 16: val_loss improved from 1.06693 to 1.06468, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 37s 12ms/step - loss: 1.0082 - accuracy: 0.6000 - val_loss: 1.0647 - val_accuracy: 0.5762 - lr: 5.0000e-04
Epoch 17/1000
3205/3207 [============================>.] - ETA: 0s - loss: 1.0030 - accuracy: 0.6020
Epoch 17: val_loss improved from 1.06468 to 1.04538, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 37s 12ms/step - loss: 1.0030 - accuracy: 0.6019 - val_loss: 1.0454 - val_accuracy: 0.5864 - lr: 5.0000e-04
Epoch 18/1000
3204/3207 [============================>.] - ETA: 0s - loss: 0.9965 - accuracy: 0.6062
Epoch 18: val_loss did not improve from 1.04538
3207/3207 [==============================] - 37s 11ms/step - loss: 0.9965 - accuracy: 0.6062 - val_loss: 1.2589 - val_accuracy: 0.5312 - lr: 5.0000e-04
Epoch 19/1000
3203/3207 [============================>.] - ETA: 0s - loss: 0.9901 - accuracy: 0.6085
Epoch 19: val_loss improved from 1.04538 to 1.03908, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 38s 12ms/step - loss: 0.9901 - accuracy: 0.6086 - val_loss: 1.0391 - val_accuracy: 0.5852 - lr: 5.0000e-04
Epoch 20/1000
3206/3207 [============================>.] - ETA: 0s - loss: 0.9853 - accuracy: 0.6109
Epoch 20: val_loss did not improve from 1.03908
3207/3207 [==============================] - 37s 12ms/step - loss: 0.9853 - accuracy: 0.6109 - val_loss: 1.0805 - val_accuracy: 0.5717 - lr: 5.0000e-04
Epoch 21/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.9810 - accuracy: 0.6130
Epoch 21: val_loss improved from 1.03908 to 1.03078, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 37s 12ms/step - loss: 0.9810 - accuracy: 0.6130 - val_loss: 1.0308 - val_accuracy: 0.5905 - lr: 5.0000e-04
Epoch 22/1000
3206/3207 [============================>.] - ETA: 0s - loss: 0.9770 - accuracy: 0.6142
Epoch 22: val_loss did not improve from 1.03078
3207/3207 [==============================] - 36s 11ms/step - loss: 0.9770 - accuracy: 0.6142 - val_loss: 1.1020 - val_accuracy: 0.5693 - lr: 5.0000e-04
Epoch 23/1000
3206/3207 [============================>.] - ETA: 0s - loss: 0.9703 - accuracy: 0.6175
Epoch 23: val_loss did not improve from 1.03078
3207/3207 [==============================] - 38s 12ms/step - loss: 0.9702 - accuracy: 0.6175 - val_loss: 1.0392 - val_accuracy: 0.5859 - lr: 5.0000e-04
Epoch 24/1000
3207/3207 [==============================] - ETA: 0s - loss: 0.9682 - accuracy: 0.6189
Epoch 24: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 24: val_loss did not improve from 1.03078
3207/3207 [==============================] - 37s 12ms/step - loss: 0.9682 - accuracy: 0.6189 - val_loss: 1.0652 - val_accuracy: 0.5767 - lr: 5.0000e-04
Epoch 25/1000
3206/3207 [============================>.] - ETA: 0s - loss: 0.9495 - accuracy: 0.6261
Epoch 25: val_loss did not improve from 1.03078
3207/3207 [==============================] - 37s 12ms/step - loss: 0.9495 - accuracy: 0.6261 - val_loss: 1.0438 - val_accuracy: 0.5887 - lr: 2.5000e-04
Epoch 26/1000
3204/3207 [============================>.] - ETA: 0s - loss: 0.9424 - accuracy: 0.6299
Epoch 26: val_loss did not improve from 1.03078
3207/3207 [==============================] - 38s 12ms/step - loss: 0.9424 - accuracy: 0.6299 - val_loss: 1.0604 - val_accuracy: 0.5776 - lr: 2.5000e-04
Epoch 27/1000
3203/3207 [============================>.] - ETA: 0s - loss: 0.9399 - accuracy: 0.6312
Epoch 27: val_loss improved from 1.03078 to 1.02457, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 38s 12ms/step - loss: 0.9400 - accuracy: 0.6312 - val_loss: 1.0246 - val_accuracy: 0.5930 - lr: 2.5000e-04
Epoch 28/1000
3206/3207 [============================>.] - ETA: 0s - loss: 0.9368 - accuracy: 0.6310
Epoch 28: val_loss did not improve from 1.02457
3207/3207 [==============================] - 37s 12ms/step - loss: 0.9368 - accuracy: 0.6310 - val_loss: 1.0279 - val_accuracy: 0.5933 - lr: 2.5000e-04
Epoch 29/1000
3204/3207 [============================>.] - ETA: 0s - loss: 0.9350 - accuracy: 0.6327
Epoch 29: val_loss did not improve from 1.02457
3207/3207 [==============================] - 37s 11ms/step - loss: 0.9349 - accuracy: 0.6327 - val_loss: 1.0381 - val_accuracy: 0.5906 - lr: 2.5000e-04
Epoch 30/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.9327 - accuracy: 0.6339
Epoch 30: ReduceLROnPlateau reducing learning rate to 0.0001250000059371814.
Epoch 30: val_loss did not improve from 1.02457
3207/3207 [==============================] - 37s 11ms/step - loss: 0.9327 - accuracy: 0.6339 - val_loss: 1.0343 - val_accuracy: 0.5942 - lr: 2.5000e-04
Epoch 31/1000
3207/3207 [==============================] - ETA: 0s - loss: 0.9210 - accuracy: 0.6383
Epoch 31: val_loss improved from 1.02457 to 1.01033, saving model to ./model_checkpoint.h5
3207/3207 [==============================] - 38s 12ms/step - loss: 0.9210 - accuracy: 0.6383 - val_loss: 1.0103 - val_accuracy: 0.6030 - lr: 1.2500e-04
Epoch 32/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.9173 - accuracy: 0.6406
Epoch 32: val_loss did not improve from 1.01033
3207/3207 [==============================] - 37s 12ms/step - loss: 0.9173 - accuracy: 0.6406 - val_loss: 1.0144 - val_accuracy: 0.5998 - lr: 1.2500e-04
Epoch 33/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.9152 - accuracy: 0.6415
Epoch 33: val_loss did not improve from 1.01033
3207/3207 [==============================] - 37s 11ms/step - loss: 0.9152 - accuracy: 0.6414 - val_loss: 1.0140 - val_accuracy: 0.6030 - lr: 1.2500e-04
Epoch 34/1000
3207/3207 [==============================] - ETA: 0s - loss: 0.9152 - accuracy: 0.6420
Epoch 34: ReduceLROnPlateau reducing learning rate to 6.25000029685907e-05.
Epoch 34: val_loss did not improve from 1.01033
3207/3207 [==============================] - 36s 11ms/step - loss: 0.9152 - accuracy: 0.6420 - val_loss: 1.0251 - val_accuracy: 0.5997 - lr: 1.2500e-04
Epoch 35/1000
3203/3207 [============================>.] - ETA: 0s - loss: 0.9078 - accuracy: 0.6448
Epoch 35: val_loss did not improve from 1.01033
3207/3207 [==============================] - 37s 11ms/step - loss: 0.9079 - accuracy: 0.6448 - val_loss: 1.0189 - val_accuracy: 0.5979 - lr: 6.2500e-05
Epoch 36/1000
3203/3207 [============================>.] - ETA: 0s - loss: 0.9050 - accuracy: 0.6460
Epoch 36: val_loss did not improve from 1.01033
3207/3207 [==============================] - 38s 12ms/step - loss: 0.9052 - accuracy: 0.6459 - val_loss: 1.0136 - val_accuracy: 0.6032 - lr: 6.2500e-05
Epoch 37/1000
3206/3207 [============================>.] - ETA: 0s - loss: 0.9050 - accuracy: 0.6456
Epoch 37: ReduceLROnPlateau reducing learning rate to 3.125000148429535e-05.
Epoch 37: val_loss did not improve from 1.01033
3207/3207 [==============================] - 36s 11ms/step - loss: 0.9051 - accuracy: 0.6456 - val_loss: 1.0169 - val_accuracy: 0.6028 - lr: 6.2500e-05
Epoch 38/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.9016 - accuracy: 0.6470
Epoch 38: val_loss did not improve from 1.01033
3207/3207 [==============================] - 36s 11ms/step - loss: 0.9016 - accuracy: 0.6471 - val_loss: 1.0116 - val_accuracy: 0.6032 - lr: 3.1250e-05
Epoch 39/1000
3207/3207 [==============================] - ETA: 0s - loss: 0.8993 - accuracy: 0.6484
Epoch 39: val_loss did not improve from 1.01033
3207/3207 [==============================] - 37s 11ms/step - loss: 0.8993 - accuracy: 0.6484 - val_loss: 1.0119 - val_accuracy: 0.6017 - lr: 3.1250e-05
Epoch 40/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.8995 - accuracy: 0.6479
Epoch 40: ReduceLROnPlateau reducing learning rate to 1.5625000742147677e-05.
Epoch 40: val_loss did not improve from 1.01033
3207/3207 [==============================] - 37s 12ms/step - loss: 0.8996 - accuracy: 0.6479 - val_loss: 1.0108 - val_accuracy: 0.6046 - lr: 3.1250e-05
Epoch 41/1000
3205/3207 [============================>.] - ETA: 0s - loss: 0.8992 - accuracy: 0.6485
Epoch 41: val_loss did not improve from 1.01033
3207/3207 [==============================] - 36s 11ms/step - loss: 0.8991 - accuracy: 0.6485 - val_loss: 1.0110 - val_accuracy: 0.6037 - lr: 1.5625e-05